The purpose of the course is to introduce doctoral students to computational techniques for modelling and analysing behavioural data for cognitive neuroscience and psychiatry research, providing them with practical experience applying these techniques.

Kursens lärandemål

After successful course completion, the students will be acquainted with several key computational models and have enough understanding to enable them to 1) critically interpret the results of the studies in the field and 2) adapt the models to new experimental paradigms for their own research. The students will be able to implement and estimate the models with the R package rstan.

Attending the lectures and hands-on sessions is mandatory. Absence from a lecture may be compensated by writing an essay on the corresponding topic. The final examination is compulsory (both report and presentation).

Examination

Examination consists of a practical assignment where students will define a problem in cognitive neuroscience or psychiatry and describe how to study it with the approaches explained in the course (theoretical framework, experiments, modelling and analysis, expected outcomes). The assignments will be presented in front of the other students in the last session.

Selection will be based on 1) the relevance of the course syllabus for the applicant's doctoral project (according to written motivation), 2) date for registration as a doctoral student (priority given to earlier registration date)

Övrig information

Course dates and times: April 4, 11, 25 and May 2 (9:00-16:00); May 9 and 16 (9:00-12:00).
This course is new but builds on a previous course with number 3045, the course evaluation of which can be seen below.